Age-disparity, sexual connectedness and HIV infection in disadvantaged communities around Cape Town, South Africa: A study protocol

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dc.contributor.author Delva, Wim
dc.contributor.author Beauclair, Roxanne
dc.contributor.author Welte, Alex
dc.contributor.author Vansteelandt, Stijn
dc.contributor.author Hens, Niel
dc.contributor.author Aerts, Marc
dc.contributor.author Du Toit, Elizabeth
dc.contributor.author Beyers, Nulda
dc.contributor.author Temmerman, Marleen
dc.date.accessioned 2011-09-06T12:56:28Z
dc.date.available 2011-09-06T12:56:28Z
dc.date.issued 2011
dc.identifier.citation Delva, W. [et al] 2011. Age-disparity, sexual connectedness and HIV infection in disadvantaged communities around Cape Town, South Africa : a study protocol, BMC Public Health, 11:616, http://www.biomedcentral.com/1471-2458/11/616 en_ZA
dc.identifier.other http://dx.doi.org/10.1186/1471-2458-11-616
dc.identifier.uri http://hdl.handle.net/10019.1/16351
dc.description The original publication is available at http://www.biomedcentral.com/1471-2458/11/616 en_ZA
dc.description.abstract Abstract: Background Crucial connections between sexual network structure and the distribution of HIV remain inadequately understood, especially in regard to the role of concurrency and age disparity in relationships, and how these network characteristics correlate with each other and other risk factors. Social desirability bias and inaccurate recall are obstacles to obtaining valid, detailed information about sexual behaviour and relationship histories. Therefore, this study aims to use novel research methods in order to determine whether HIV status is associated with age-disparity and sexual connectedness as well as establish the primary behavioural and socio-demographic predictors of the egocentric and community sexual network structures. Method/Design We will conduct a cross-sectional survey that uses a questionnaire exploring one-year sexual histories, with a focus on timing and age disparity of relationships, as well as other risk factors such as unprotected intercourse and the use of alcohol and recreational drugs. The questionnaire will be administered in a safe and confidential mobile interview space, using audio computer-assisted self-interview (ACASI) technology on touch screen computers. The ACASI features a choice of languages and visual feedback of temporal information. The survey will be administered in three peri-urban disadvantaged communities in the greater Cape Town area with a high burden of HIV. The study communities participated in a previous TB/HIV study, from which HIV test results will be anonymously linked to the survey dataset. Statistical analyses of the data will include descriptive statistics, linear mixed-effects models for the inter- and intra-subject variability in the age difference between sexual partners, survival analysis for correlated event times to model concurrency patterns, and logistic regression for association of HIV status with age disparity and sexual connectedness. Discussion This study design is intended to facilitate more accurate recall of sensitive sexual history data and has the potential to provide substantial insights into the relationship between key sexual network attributes and additional risk factors for HIV infection. This will help to inform the design of context-specific HIV prevention programmes. en_ZA
dc.format.extent 7 p.
dc.language.iso en_ZA en_ZA
dc.publisher BioMed Central Ltd en_ZA
dc.subject HIV en_ZA
dc.subject Aids en_ZA
dc.subject Relationships en
dc.title Age-disparity, sexual connectedness and HIV infection in disadvantaged communities around Cape Town, South Africa: A study protocol en_ZA
dc.type Article en_ZA
dc.date.updated 2011-09-03T05:04:20Z
dc.description.version Publishers' version en_ZA
dc.language.rfc3066 en
dc.rights.holder Author retain copyright en_ZA


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